Senior Data Engineer/Data Architect

In this position, your key responsibilities will include engaging in presales activities such as gathering requirements, creating solution architectures, estimating costs, and leading presales engagements. You will be tasked with designing enterprise-level Microsoft Data Platform solutions, integrating hybrid architectures with platforms like Snowflake, SAAL.AI, Databricks, BigQuery, and AWS Redshift, and producing proposals, SoWs, and responses to RFP/RFI with competitive positioning. Additionally, you will conduct solution demonstrations, Proof of Concepts (PoCs), and technical workshops for clients.

As part of delivery enablement, you will ensure successful delivery of signed deals by maintaining quality and meeting timelines. You will also define reusable frameworks, reference architectures, and accelerators for Microsoft and multi-platform data solutions, and provide technical leadership during the design and initial delivery phases.

Moreover, you will act as a trusted advisor to CxO and senior stakeholders, leading consulting engagements to evaluate current data maturity and establish modernization roadmaps. Collaborating with partner ecosystems including Microsoft, Snowflake, Databricks, Google Cloud, and others to deliver joint value propositions will also be a part of your responsibilities.

To further develop the Data & AI practice within the Cloud BU, you will be involved in recruitment, training, and capability building. This includes developing industry-specific AI solutions using Microsoft AI & GenAI services and partner platforms, and staying informed about emerging trends in data engineering, analytics, AI, and governance.

The ideal candidate should possess strong expertise in Microsoft Data Platform & AI, experience with integrating or working on other data platforms, hands-on delivery experience in enterprise data platform and AI implementations, and a solid understanding of data architecture, ETL/ELT, modeling, governance, and security. Familiarity with AI/ML, GenAI frameworks, and cognitive services is desirable, along with a proven track record in presales solutioning, cost estimation, and proposal creation.

Preferred qualifications include certifications such as Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Data Engineer Associate, SnowPro, Databricks Certified Data Engineer, Azure AI Engineer Associate, or other AI/ML specialty certifications. Additionally, experience in Public Sector, BFSI, Healthcare, and Energy verticals, exposure to vertical-led AI solutions, and the ability to establish and lead a Data & AI CoE are advantageous.

Candidates should hold a Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or a related field. Join us to lead innovative data & AI transformation initiatives for strategic clients, collaborate with Microsoft and leading data platform partners, shape the future of our Data & AI practice, and be part of a high-growth, innovation-focused Cloud BU.,